Geostatistical simulations for radon indoor with a nested model including the housing factor
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- 作者：C. Cafaroa ; shinacronistic@gmail.com" class="auth_mail" title="E-mail the corresponding author ; C. Giovanib ; M. Garavagliab
- 关键词：Radon ; Housing ; Geostatistics ; Co-kriging ; Risk
- 刊名：Journal of Environmental Radioactivity
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：151
- 期：part_P1
- 页码：264-274
- 全文大小：4013 K
文摘
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The housing class is inserted into co-kriging via an indicator function.
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Inserting the housing classes in a co-kriging improves predictions.
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The housing class has a structured component in space.
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A nested model is implemented into the multigaussian algorithm.
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A collection of risk maps is merged into one to create RPA.